Nn (NNBR) Inventory (2010 - 2026)
Nn's Inventory was $69.36 million in Q2 2026, up 10.5% from $62.79 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Nn (NNBR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Nn came in at $65.98 million, up 6.6% from FY2024.
- Inventory shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Inventory was $61.88 million in FY2024 (-13.5%), $71.56 million in FY2023 (-11.3%), $80.68 million in FY2022 (+7.5%) and $75.03 million in FY2021 (+20.0%).
- The Q2 2026 figure marks the highest quarterly Inventory since Q3 2024.
- Compared with a year earlier, Inventory has increased for three straight quarters, with an average decline of 2.5% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q1 2022 (growth of 20.3%); the worst was Q3 2023 (a decline of 15.7%).
- Per Business Quant data, NNBR's Inventory in the three quarters before Q2 2026 was $68.18 million (Q1 2026), $65.98 million (Q4 2025) and $63.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Nn | 192.95 Mn | 266.56 Mn | 21.88 Mn | 69.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.36 Mn |
| Mar 31, 2026 | 68.18 Mn |
| Dec 31, 2025 | 65.98 Mn |
| Sep 30, 2025 | 63.49 Mn |
| Jun 30, 2025 | 62.79 Mn |
| Mar 31, 2025 | 62.93 Mn |
| Dec 31, 2024 | 61.88 Mn |
| Sep 30, 2024 | 69.60 Mn |
| Jun 30, 2024 | 68.29 Mn |
| Mar 31, 2024 | 72.72 Mn |
| Dec 31, 2023 | 71.56 Mn |
| Sep 30, 2023 | 70.92 Mn |
| Jun 30, 2023 | 77.39 Mn |
| Mar 31, 2023 | 81.78 Mn |
| Dec 31, 2022 | 80.68 Mn |
| Sep 30, 2022 | 84.17 Mn |
| Jun 30, 2022 | 84.73 Mn |
| Mar 31, 2022 | 81.24 Mn |
| Dec 31, 2021 | 75.03 Mn |
| Sep 30, 2021 | 75.32 Mn |
API Access
Nn Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "NNBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();